Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/512690
Title: In silico prediction of precursor microRNA in insects
Researcher: Nath, Adhiraj
Guide(s): Bora, Utpal
Keywords: Biotechnology and Applied Microbiology
Life Sciences
Microbiology
University: Indian Institute of Technology Guwahati
Completed Date: 2023
Abstract: Pre-MicroRNAs are the hairpin loops from which microRNAs are produced that have been found to negatively regulate gene expression in several organisms. In insects, microRNAs participate in several biological processes including metamorphosis, reproduction, immune response, etc. Numerous tools have been designed in recent years to predict novel pre-microRNA using binary machine learning classifiers where prediction models are trained with true and pseudo pre-microRNA hairpin loops. Currently, there are no existing tool that is exclusively designed for insect pre-microRNA detection.
Pagination: 
URI: http://hdl.handle.net/10603/512690
Appears in Departments:DEPARTMENT OF BIOSCIENCES AND BIOENGINEERING

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